CN117527399B - Information security encryption method and system for intelligent home - Google Patents

Information security encryption method and system for intelligent home Download PDF

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Publication number
CN117527399B
CN117527399B CN202311606341.9A CN202311606341A CN117527399B CN 117527399 B CN117527399 B CN 117527399B CN 202311606341 A CN202311606341 A CN 202311606341A CN 117527399 B CN117527399 B CN 117527399B
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data
type
types
household equipment
determining
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CN117527399A (en
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朱湘军
黄强
彭永坚
李利苹
任继光
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Guangzhou Video Star Intelligent Co ltd
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Guangzhou Video Star Intelligent Co ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
    • H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/2803—Home automation networks
    • H04L12/2807—Exchanging configuration information on appliance services in a home automation network
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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  • Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Automation & Control Theory (AREA)
  • Computer Hardware Design (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Selective Calling Equipment (AREA)

Abstract

The invention discloses an information security encryption method and system for intelligent home, wherein the method comprises the following steps: acquiring user investigation data and historical information security accident records; determining different household equipment types and corresponding level rules of household transmission data of different data types according to the user investigation data and the historical information security accident record; when target household equipment needs to transmit target transmission data, determining a security level corresponding to the target transmission data according to a data type corresponding to the target transmission data, a household equipment type of the target household equipment and the level rule; and determining a transmission encryption algorithm and a key corresponding to the target transmission data according to the security level, and carrying out encryption transmission on the target transmission data according to the transmission encryption algorithm and the key. Therefore, the invention can fully determine the transmission encryption intensity according to the level of the household data, and improve the information transmission safety of the intelligent household equipment.

Description

Information security encryption method and system for intelligent home
Technical Field
The invention relates to the technical field of information security, in particular to an information security encryption method and system for intelligent home.
Background
The development of intelligent home equipment and the improvement of information technology enable the intelligent home equipment to have more powerful processors and information processing capabilities, but the development also makes the information security problem in the home equipment scene face more challenges.
However, when the information security maintenance of the home equipment is realized in the prior art, the level rule of different data is established by utilizing the user investigation data and the historical information security accident, and the encryption strength in the information transmission is determined, so that the information security degree of the intelligent home equipment realized in the prior art is obviously lacking. It can be seen that the prior art has defects and needs to be solved.
Disclosure of Invention
The invention aims to solve the technical problem of providing an information security encryption method and system for intelligent home, which can fully determine the transmission encryption strength according to the level of home data, improve the information transmission security of intelligent home equipment and reduce information leakage or information attack accidents.
In order to solve the technical problem, the first aspect of the invention discloses an information security encryption method for intelligent home, which comprises the following steps:
Acquiring user investigation data and historical information security accident records;
determining different household equipment types and corresponding level rules of household transmission data of different data types according to the user investigation data and the historical information security accident record;
When target household equipment needs to transmit target transmission data, determining a security level corresponding to the target transmission data according to a data type corresponding to the target transmission data, a household equipment type of the target household equipment and the level rule;
and determining a transmission encryption algorithm and a key corresponding to the target transmission data according to the security level, and carrying out encryption transmission on the target transmission data according to the transmission encryption algorithm and the key.
As an optional implementation manner, in the first aspect of the present invention, the user investigation data includes at least one of user report data, user questionnaire filling data and user telephone communication data; and/or the history information security accident record comprises a plurality of history information leakage accidents and corresponding accident data transmission records of a plurality of household devices in a history time period; and/or the household equipment type comprises at least one of a monitoring type, a door lock type, a cleaning type, a control type, a lighting type and a cooking type; and/or the data type comprises at least one of a control type, a notification type, a text type, an image type and a sound type.
In an optional implementation manner, in a first aspect of the present invention, the determining, according to the user investigation data and the historical information security incident record, a level rule corresponding to different home device types and home transmission data of different data types includes:
according to the user investigation data, counting user feedback error rate of the home transmission data corresponding to each home equipment type;
According to the user investigation data, counting the user feedback error rate of the home transmission data of each data type;
According to the historical information security accident records, counting the historical accident occurrence rate of the home transmission data corresponding to each home equipment type;
According to the historical information security accident records, counting the historical accident occurrence rate of the home transmission data of each data type;
And determining the level rules corresponding to the different household equipment types and the household transmission data of the different data types according to the user feedback error rate and the historical accident occurrence rate corresponding to each household equipment type and the user feedback error rate and the historical accident occurrence rate corresponding to each data type.
In a first aspect of the present invention, determining the level rule corresponding to the home transmission data of different home device types and different data types according to the user feedback error rate and the historical accident occurrence rate corresponding to each home device type, and the user feedback error rate and the historical accident occurrence rate corresponding to each data type includes:
For any household equipment type and any data type, calculating an error rate difference value between the user feedback error rate of the household equipment type and the user feedback error rate between the data types, and calculating an occurrence rate difference value between the historical accident occurrence rate of the household equipment type and the historical accident occurrence rate between the data types;
According to the error rate difference value and the occurrence rate difference value, clustering and dividing all the household equipment types and all the data types to obtain a plurality of type sets; each of the type sets includes at least one of the home device types and at least one of the data types; the error rate difference value and the occurrence rate difference value between the household equipment type and the data type in the type set meet a preset threshold rule;
Calculating the average value of the user feedback error rate and the historical accident occurrence rate of all the household equipment types and all the data types in each type set to obtain the error probability corresponding to each type set;
based on the error probability from large to small, sequencing all the type sets to obtain a set sequence;
And establishing mathematical correspondence between the types of the household equipment and the data types included in each type set and the orders of the type sets in the set sequence to obtain level rules corresponding to the household transmission data of different types of the household equipment and different types of the data.
As an optional implementation manner, in the first aspect of the present invention, the determining, according to the data type corresponding to the target transmission data and the home device type of the target home device, and the level rule, a security level corresponding to the target transmission data includes:
Forming a target type set by the data type corresponding to the target transmission data and the household equipment type of the target household equipment;
Calculating the type similarity between each type set and the target type set;
and determining the rank in the set sequence corresponding to the type set with the highest type similarity as the security level corresponding to the target transmission data.
As an optional implementation manner, in the first aspect of the present invention, the determining, according to the security level, a transport encryption algorithm and a key corresponding to the target transport data includes:
Determining a target encryption algorithm from a plurality of candidate encryption algorithms according to the security level so as to determine a transmission encryption algorithm corresponding to the target transmission data;
Determining a target key determination algorithm from a plurality of candidate key determination algorithms according to the security level;
and determining a key corresponding to the target transmission data through the target key determination algorithm and the target transmission data.
As an optional implementation manner, in the first aspect of the present invention, the determining, according to the security level, a target key determining algorithm from a plurality of candidate key determining algorithms includes:
for each candidate key determining algorithm, determining the proportion of the number of information incidents corresponding to the candidate key determining algorithm to the number of all incidents from the historical security information incidents, and obtaining the proportion parameter corresponding to the candidate key determining algorithm;
Inputting each historical key generated by the candidate key determination algorithm in a historical time period into a trained key complexity prediction neural network model to obtain the complexity corresponding to each historical key, and calculating the average value of the complexity corresponding to all the historical keys of the candidate key determination algorithm to obtain the complexity parameter corresponding to the candidate key determination algorithm;
calculating the ratio of the complexity parameter to the proportion parameter to obtain the algorithm security parameter of the candidate key determination algorithm;
And sequencing all the candidate key determining algorithms from large to small according to the algorithm security parameters to obtain an algorithm sequence, and determining the candidate key determining algorithm with the rank corresponding to the security level in the algorithm sequence as a target key determining algorithm.
The second aspect of the invention discloses an information security encryption system for smart home, which comprises:
the acquisition module is used for acquiring user investigation data and historical information security accident records;
The analysis module is used for determining different household equipment types and corresponding level rules of household transmission data of different data types according to the user investigation data and the historical information security accident record;
the determining module is used for determining the security level corresponding to the target transmission data according to the data type corresponding to the target transmission data, the household equipment type of the target household equipment and the level rule when the target household equipment needs to transmit the target transmission data;
And the encryption module is used for determining a transmission encryption algorithm and a key corresponding to the target transmission data according to the security level, and carrying out encryption transmission on the target transmission data according to the transmission encryption algorithm and the key.
As an optional implementation manner, in the second aspect of the present invention, the user investigation data includes at least one of user report data, user questionnaire filling data and user telephone communication data; and/or the history information security accident record comprises a plurality of history information leakage accidents and corresponding accident data transmission records of a plurality of household devices in a history time period; and/or the household equipment type comprises at least one of a monitoring type, a door lock type, a cleaning type, a control type, a lighting type and a cooking type; and/or the data type comprises at least one of a control type, a notification type, a text type, an image type and a sound type.
In a second aspect of the present invention, the determining, by the analysis module, a specific manner of determining, according to the user investigation data and the historical information security incident record, a level rule corresponding to different home device types and home transmission data of different data types includes:
according to the user investigation data, counting user feedback error rate of the home transmission data corresponding to each home equipment type;
According to the user investigation data, counting the user feedback error rate of the home transmission data of each data type;
According to the historical information security accident records, counting the historical accident occurrence rate of the home transmission data corresponding to each home equipment type;
According to the historical information security accident records, counting the historical accident occurrence rate of the home transmission data of each data type;
And determining the level rules corresponding to the different household equipment types and the household transmission data of the different data types according to the user feedback error rate and the historical accident occurrence rate corresponding to each household equipment type and the user feedback error rate and the historical accident occurrence rate corresponding to each data type.
As an optional implementation manner, in the second aspect of the present invention, the specific manner of determining, by the analysis module, the level rule corresponding to the home transmission data of different home device types and different data types according to the user feedback error rate and the historical accident occurrence rate corresponding to each home device type, and the user feedback error rate and the historical accident occurrence rate corresponding to each data type includes:
For any household equipment type and any data type, calculating an error rate difference value between the user feedback error rate of the household equipment type and the user feedback error rate between the data types, and calculating an occurrence rate difference value between the historical accident occurrence rate of the household equipment type and the historical accident occurrence rate between the data types;
According to the error rate difference value and the occurrence rate difference value, clustering and dividing all the household equipment types and all the data types to obtain a plurality of type sets; each of the type sets includes at least one of the home device types and at least one of the data types; the error rate difference value and the occurrence rate difference value between the household equipment type and the data type in the type set meet a preset threshold rule;
Calculating the average value of the user feedback error rate and the historical accident occurrence rate of all the household equipment types and all the data types in each type set to obtain the error probability corresponding to each type set;
based on the error probability from large to small, sequencing all the type sets to obtain a set sequence;
And establishing mathematical correspondence between the types of the household equipment and the data types included in each type set and the orders of the type sets in the set sequence to obtain level rules corresponding to the household transmission data of different types of the household equipment and different types of the data.
In a second aspect of the present invention, the determining module determines, according to the data type corresponding to the target transmission data and the home device type of the target home device, and the level rule, a specific manner of the security level corresponding to the target transmission data, where the specific manner includes:
Forming a target type set by the data type corresponding to the target transmission data and the household equipment type of the target household equipment;
Calculating the type similarity between each type set and the target type set;
and determining the rank in the set sequence corresponding to the type set with the highest type similarity as the security level corresponding to the target transmission data.
In a second aspect of the present invention, the encryption module determines, according to the security level, a specific manner of transmitting an encryption algorithm and a key corresponding to the target transmission data, where the specific manner includes:
Determining a target encryption algorithm from a plurality of candidate encryption algorithms according to the security level so as to determine a transmission encryption algorithm corresponding to the target transmission data;
Determining a target key determination algorithm from a plurality of candidate key determination algorithms according to the security level;
and determining a key corresponding to the target transmission data through the target key determination algorithm and the target transmission data.
In a second aspect of the present invention, the encryption module determines, according to the security level, a specific mode of the target key determination algorithm from a plurality of candidate key determination algorithms, including:
for each candidate key determining algorithm, determining the proportion of the number of information incidents corresponding to the candidate key determining algorithm to the number of all incidents from the historical security information incidents, and obtaining the proportion parameter corresponding to the candidate key determining algorithm;
Inputting each historical key generated by the candidate key determination algorithm in a historical time period into a trained key complexity prediction neural network model to obtain the complexity corresponding to each historical key, and calculating the average value of the complexity corresponding to all the historical keys of the candidate key determination algorithm to obtain the complexity parameter corresponding to the candidate key determination algorithm;
calculating the ratio of the complexity parameter to the proportion parameter to obtain the algorithm security parameter of the candidate key determination algorithm;
And sequencing all the candidate key determining algorithms from large to small according to the algorithm security parameters to obtain an algorithm sequence, and determining the candidate key determining algorithm with the rank corresponding to the security level in the algorithm sequence as a target key determining algorithm.
The third aspect of the invention discloses another information security encryption system for smart home, which comprises:
A memory storing executable program code;
A processor coupled to the memory;
The processor invokes the executable program code stored in the memory to execute part or all of the steps in the information security encryption method for smart home disclosed in the first aspect of the present invention.
A fourth aspect of the present invention discloses a computer storage medium storing computer instructions for executing part or all of the steps in the information security encryption method for smart home disclosed in the first aspect of the present invention when the computer instructions are called.
Compared with the prior art, the invention has the following beneficial effects:
The invention can determine the level rule of different household transmission data according to the user investigation data and the historical information security accident record so as to determine the level of the data and the corresponding encryption algorithm parameters in the subsequent transmission, thereby fully determining the transmission encryption strength according to the level of the household data, improving the information transmission security of the intelligent household equipment and reducing information leakage or information attack accidents.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow diagram of an information security encryption method for intelligent home according to an embodiment of the present invention;
Fig. 2 is a schematic structural diagram of an information security encryption system for smart home according to an embodiment of the present invention;
Fig. 3 is a schematic structural diagram of another information security encryption system for smart home according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The invention discloses an information security encryption method and system for intelligent home, which can determine the level rule of different home transmission data according to user investigation data and historical information security accident records so as to determine the level of the data and corresponding encryption algorithm parameters in subsequent transmission, thereby being capable of fully determining the transmission encryption strength according to the level of the home data, improving the information transmission security of intelligent home equipment and reducing information leakage or information attack accidents. The following will describe in detail.
Example 1
Referring to fig. 1, fig. 1 is a flow chart of an information security encryption method for intelligent home according to an embodiment of the present invention. The method described in fig. 1 may be applied to a corresponding data processing device, a data processing terminal, and a data processing server, where the server may be a local server or a cloud server, and the embodiment of the present invention is not limited to the method shown in fig. 1, and the method for information security encryption for intelligent home may include the following operations:
101. And acquiring user investigation data and historical information security accident records.
Optionally, the user investigation data includes at least one of user report data, user questionnaire filling data, and user telephone communication data.
Optionally, the historical information security accident record includes a plurality of historical information leakage accidents and corresponding accident data transmission records of the plurality of home devices in a historical time period.
102. And determining different household equipment types and corresponding level rules of household transmission data of different data types according to the user investigation data and the historical information security accident record.
Optionally, the home appliance type includes at least one of a monitoring type, a door lock type, a cleaning type, a control type, a lighting type, and a cooking type.
Optionally, the data type includes at least one of a control type, a notification type, a text type, an image type, and a sound type.
103. When the target household equipment needs to transmit target transmission data, determining a security level corresponding to the target transmission data according to a data type corresponding to the target transmission data, a household equipment type of the target household equipment and a level rule.
104. And determining a transmission encryption algorithm and a key corresponding to the target transmission data according to the security level, and carrying out encryption transmission on the target transmission data according to the transmission encryption algorithm and the key.
Therefore, the method described by the embodiment of the invention can determine the level rule of different home transmission data according to the user investigation data and the historical information security accident record so as to determine the level of the data and the corresponding encryption algorithm parameters in the subsequent transmission, thereby fully determining the transmission encryption strength according to the level of the home data, improving the information transmission security of the intelligent home equipment and reducing information leakage or information attack accidents.
As an optional embodiment, in the step, determining, according to the user investigation data and the historical information security incident record, the level rule corresponding to the different home device types and the home transmission data of the different data types includes:
according to the user investigation data, counting user feedback error rate of the home transmission data corresponding to each home equipment type;
according to the user investigation data, counting the user feedback error rate of the home transmission data of each data type;
According to the historical information security accident records, counting the historical accident occurrence rate of the home transmission data corresponding to each home equipment type;
According to the historical information security accident records, counting the historical accident occurrence rate of the household transmission data of each data type;
and determining the class rules corresponding to the different household equipment types and the household transmission data of the different data types according to the user feedback error rate and the historical accident occurrence rate corresponding to each household equipment type and the user feedback error rate and the historical accident occurrence rate corresponding to each data type.
Specifically, the user feedback error rate may be a ratio of data that is fed back by the user and has errors in all user investigation data corresponding to the specific home equipment type or the home transmission data corresponding to the specific data type.
Specifically, the historical accident occurrence rate may be the ratio of records of information security accidents in all the historical information security accident records corresponding to the home transmission data corresponding to the specific home equipment type to all the historical information security accident records.
Through the embodiment, the level rule can be determined through calculating the user feedback error rate and the historical accident occurrence rate corresponding to each household equipment type and the user feedback error rate and the historical accident occurrence rate corresponding to each data type, so that the level rule corresponding to different household equipment types and the household transmission data of different data types can be determined more reasonably and accurately, the subsequent determination of the transmission encryption strength according to the level of the household data is facilitated, and the information transmission safety of the intelligent household equipment is improved.
As an optional embodiment, in the step, determining the level rule corresponding to the home transmission data of different home device types and different data types according to the user feedback error rate and the historical accident occurrence rate corresponding to each home device type, and the user feedback error rate and the historical accident occurrence rate corresponding to each data type includes:
For any household equipment type and any data type, calculating an error rate difference between a user feedback error rate of the household equipment type and a user feedback error rate between the data types, and calculating an appearance rate difference between a historical accident appearance rate of the household equipment type and a historical accident appearance rate between the data types;
clustering and dividing all household equipment types and all data types according to the error rate difference value and the occurrence rate difference value to obtain a plurality of type sets; each type set includes at least one home device type and at least one data type; the error rate difference value and the occurrence rate difference value between the household equipment type and the data type in the type set meet a preset threshold rule;
calculating the average value of the user feedback error rate and the historical accident occurrence rate of all household equipment types and all data types in each type set to obtain the error probability corresponding to each type set;
sequencing all types of sets based on the error probability from large to small to obtain a set sequence;
Establishing mathematical correspondence between the types of the household equipment and the data types included in each type set and the orders of the type sets in the set sequence, and obtaining the level rules corresponding to the household transmission data of different types of the household equipment and different types of the data.
In particular, the threshold rules may define that the error rate difference and the occurrence rate difference should be less than a preset difference threshold, which may be determined by an operator based on empirical or experimental data.
Alternatively, the above cluster partitioning may be implemented by a dynamic programming algorithm, such as a K-MEANS algorithm or other particle swarm evolution algorithm.
Optionally, establishing mathematical correspondence between the type and data type of the household equipment included in each type set and the level of the type set in the set sequence, wherein the mathematical correspondence can be obtained by fitting a polynomial mathematical relationship model and a corresponding least square fitting algorithm.
Through the embodiment, the multiple types of sets can be obtained by carrying out clustering division on all the household equipment types and all the data types, and mathematical correspondence between the household equipment types and the data types included in each type of set and the orders of the types of sets in the set sequence is further established, so that more reasonable and accurate level rules corresponding to household transmission data of different household equipment types and different data types can be determined, the subsequent determination of the transmission encryption intensity can be conveniently carried out fully according to the levels of the household data, and the information transmission safety of intelligent household equipment is improved.
As an optional embodiment, in the step, determining, according to the data type corresponding to the target transmission data, the home device type of the target home device, and the level rule, the security level corresponding to the target transmission data includes:
The data type corresponding to the target transmission data and the household equipment type of the target household equipment form a target type set;
Calculating the type similarity between each type set and the target type set;
and determining the rank in the set sequence corresponding to the type set with the highest type similarity as the security level corresponding to the target transmission data.
Alternatively, the calculation of the type similarity may be implemented by a vector distance algorithm.
Optionally, the manner of determining the security level corresponding to the target transmission data according to the data type corresponding to the target transmission data, the home equipment type of the target home equipment and the level rule may also be a manner of directly inputting the data type corresponding to the target transmission data and the home equipment type of the target home equipment into the mathematical relationship model obtained by fitting in the above embodiment to obtain the corresponding level parameter.
Through the embodiment, the security level corresponding to the target transmission data can be determined by the level in the set sequence corresponding to the type set with the highest type similarity, so that the level rule corresponding to the more reasonable and accurate home transmission data can be determined, the subsequent determination of the transmission encryption strength according to the level of the home data is facilitated, and the information transmission security of the intelligent home equipment is improved.
As an optional embodiment, in the step, determining, according to the security level, a transport encryption algorithm and a key corresponding to the target transport data includes:
Determining a target encryption algorithm from a plurality of candidate encryption algorithms according to the security level so as to determine a transmission encryption algorithm corresponding to target transmission data;
determining a target key determination algorithm from a plurality of candidate key determination algorithms according to the security level;
and determining a key corresponding to the target transmission data through a target key determination algorithm and the target transmission data.
Specifically, according to the security level, the mode of determining the target encryption algorithm from the multiple candidate encryption algorithms can comprehensively determine the priority of the candidate encryption algorithms according to algorithm encryption degree parameters of different candidate encryption algorithms and accident rates of historical encryption accident records, and select the candidate encryption algorithm with higher priority, namely better encryption effect, according to the security level to carry out subsequent encryption.
Through the embodiment, the transmission encryption algorithm and the key algorithm corresponding to the target transmission data can be determined in the plurality of candidate encryption algorithms and the key algorithm according to the security level, so that the transmission encryption strength can be determined fully according to the level of the household data, and the information transmission security of the intelligent household equipment can be improved.
As an alternative embodiment, in the step, determining the target key determining algorithm from the plurality of candidate key determining algorithms according to the security level includes:
for each candidate key determining algorithm, determining the proportion of the number of information incidents corresponding to the candidate key determining algorithm to the number of all incidents from the historical security information incidents to obtain the proportion parameter corresponding to the candidate key determining algorithm;
Inputting each historical key generated by the candidate key determination algorithm in the historical time period into a trained key complexity prediction neural network model to obtain the complexity corresponding to each historical key, and calculating the average value of the complexity corresponding to all the historical keys of the candidate key determination algorithm to obtain the complexity parameter corresponding to the candidate key determination algorithm;
calculating the ratio of the complexity parameter to the proportion parameter to obtain the algorithm security parameter of the candidate key determination algorithm;
And sequencing all candidate key determining algorithms from large to small according to the algorithm security parameters to obtain an algorithm sequence, and determining the candidate key determining algorithm of the rank corresponding to the security level in the algorithm sequence as a target key determining algorithm.
According to the embodiment, the key algorithm corresponding to the target transmission data can be determined in the candidate key algorithms according to the security level, so that the transmission encryption strength can be determined fully according to the level of the household data, and the information transmission security of the intelligent household equipment is improved.
Example two
Referring to fig. 2, fig. 2 is a schematic structural diagram of an information security encryption system for smart home according to an embodiment of the present invention. The system described in fig. 2 may be applied to a corresponding data processing device, a data processing terminal, and a data processing server, where the server may be a local server or a cloud server, and embodiments of the present invention are not limited. As shown in fig. 2, the system may include:
The acquisition module 201 is used for acquiring user investigation data and historical information security accident records;
The analysis module 202 is configured to determine, according to the user investigation data and the historical information security incident record, level rules corresponding to different types of home devices and different types of home transmission data;
The determining module 203 is configured to determine, when the target home device needs to transmit the target transmission data, a security level corresponding to the target transmission data according to a data type corresponding to the target transmission data, a home device type of the target home device, and a level rule;
The encryption module 204 is configured to determine a transmission encryption algorithm and a key corresponding to the target transmission data according to the security level, and encrypt and transmit the target transmission data according to the transmission encryption algorithm and the key.
As an optional embodiment, the user investigation data includes at least one of user report data, user questionnaire filling data, and user telephone communication data; and/or the historical information security accident records comprise a plurality of historical information leakage accidents and corresponding accident data transmission records of a plurality of household devices in a historical time period; and/or the household equipment type comprises at least one of a monitoring type, a door lock type, a cleaning type, a control type, a lighting type and a cooking type; and/or the data type comprises at least one of a control type, a notification type, a text type, an image type, and a sound type.
As an optional embodiment, the specific manner of determining, by the analysis module 202, the level rule corresponding to different home device types and home transmission data of different data types according to the user investigation data and the historical information security incident record includes:
according to the user investigation data, counting user feedback error rate of the home transmission data corresponding to each home equipment type;
according to the user investigation data, counting the user feedback error rate of the home transmission data of each data type;
According to the historical information security accident records, counting the historical accident occurrence rate of the home transmission data corresponding to each home equipment type;
According to the historical information security accident records, counting the historical accident occurrence rate of the household transmission data of each data type;
and determining the class rules corresponding to the different household equipment types and the household transmission data of the different data types according to the user feedback error rate and the historical accident occurrence rate corresponding to each household equipment type and the user feedback error rate and the historical accident occurrence rate corresponding to each data type.
As an alternative embodiment, the specific manner of determining the level rule corresponding to the home transmission data of different home device types and different data types by the analysis module 202 according to the user feedback error rate and the historical accident occurrence rate corresponding to each home device type, and the user feedback error rate and the historical accident occurrence rate corresponding to each data type includes:
For any household equipment type and any data type, calculating an error rate difference between a user feedback error rate of the household equipment type and a user feedback error rate between the data types, and calculating an appearance rate difference between a historical accident appearance rate of the household equipment type and a historical accident appearance rate between the data types;
clustering and dividing all household equipment types and all data types according to the error rate difference value and the occurrence rate difference value to obtain a plurality of type sets; each type set includes at least one home device type and at least one data type; the error rate difference value and the occurrence rate difference value between the household equipment type and the data type in the type set meet a preset threshold rule;
calculating the average value of the user feedback error rate and the historical accident occurrence rate of all household equipment types and all data types in each type set to obtain the error probability corresponding to each type set;
sequencing all types of sets based on the error probability from large to small to obtain a set sequence;
Establishing mathematical correspondence between the types of the household equipment and the data types included in each type set and the orders of the type sets in the set sequence, and obtaining the level rules corresponding to the household transmission data of different types of the household equipment and different types of the data.
As an optional embodiment, the determining module 203 determines, according to the data type corresponding to the target transmission data and the home device type of the target home device, and the level rule, a specific manner of determining the security level corresponding to the target transmission data, including:
The data type corresponding to the target transmission data and the household equipment type of the target household equipment form a target type set;
Calculating the type similarity between each type set and the target type set;
and determining the rank in the set sequence corresponding to the type set with the highest type similarity as the security level corresponding to the target transmission data.
As an alternative embodiment, the encryption module 204 determines, according to the security level, a specific manner of transmitting the encryption algorithm and the key corresponding to the target transmission data, including:
Determining a target encryption algorithm from a plurality of candidate encryption algorithms according to the security level so as to determine a transmission encryption algorithm corresponding to target transmission data;
determining a target key determination algorithm from a plurality of candidate key determination algorithms according to the security level;
and determining a key corresponding to the target transmission data through a target key determination algorithm and the target transmission data.
As an alternative embodiment, the encryption module 204 determines, according to the security level, a specific manner of the target key determination algorithm from the plurality of candidate key determination algorithms, including:
for each candidate key determining algorithm, determining the proportion of the number of information incidents corresponding to the candidate key determining algorithm to the number of all incidents from the historical security information incidents to obtain the proportion parameter corresponding to the candidate key determining algorithm;
Inputting each historical key generated by the candidate key determination algorithm in the historical time period into a trained key complexity prediction neural network model to obtain the complexity corresponding to each historical key, and calculating the average value of the complexity corresponding to all the historical keys of the candidate key determination algorithm to obtain the complexity parameter corresponding to the candidate key determination algorithm;
calculating the ratio of the complexity parameter to the proportion parameter to obtain the algorithm security parameter of the candidate key determination algorithm;
And sequencing all candidate key determining algorithms from large to small according to the algorithm security parameters to obtain an algorithm sequence, and determining the candidate key determining algorithm of the rank corresponding to the security level in the algorithm sequence as a target key determining algorithm.
The details and technical effects of the modules in the embodiment of the present invention may refer to the description in the first embodiment, and are not described herein.
Example III
Referring to fig. 3, fig. 3 is a schematic structural diagram of another information security encryption system for smart home according to an embodiment of the present invention. As shown in fig. 3, the system may include:
A memory 301 storing executable program code;
a processor 302 coupled with the memory 301;
The processor 302 invokes executable program codes stored in the memory 301 to perform some or all of the steps in the information security encryption method for smart home disclosed in the embodiment of the present invention.
Example IV
The embodiment of the invention discloses a computer storage medium which stores computer instructions for executing part or all of the steps in the information security encryption method for intelligent home disclosed in the embodiment of the invention when the computer instructions are called.
The system embodiments described above are merely illustrative, in which the modules illustrated as separate components may or may not be physically separate, and the components shown as modules may or may not be physical, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above detailed description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product that may be stored in a computer-readable storage medium including Read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), one-time programmable Read-Only Memory (OTPROM), electrically erasable programmable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM) or other optical disc Memory, magnetic disc Memory, tape Memory, or any other medium that can be used for computer-readable carrying or storing data.
Finally, it should be noted that: the embodiment of the invention discloses an information security encryption method and system for intelligent home, which are disclosed by the embodiment of the invention only for the preferred embodiment of the invention, and are only used for illustrating the technical scheme of the invention, but not limiting the technical scheme; although the invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme recorded in the various embodiments can be modified or part of technical features in the technical scheme can be replaced equivalently; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims (8)

1. An information security encryption method for intelligent home, the method comprising:
Acquiring user investigation data and historical information security accident records;
determining different household equipment types and corresponding level rules of household transmission data of different data types according to the user investigation data and the historical information security accident record; the determining the level rule corresponding to different household equipment types and household transmission data of different data types according to the user investigation data and the historical information security accident record comprises the following steps:
according to the user investigation data, counting user feedback error rate of the home transmission data corresponding to each home equipment type;
According to the user investigation data, counting the user feedback error rate of the home transmission data of each data type;
According to the historical information security accident records, counting the historical accident occurrence rate of the home transmission data corresponding to each home equipment type;
According to the historical information security accident records, counting the historical accident occurrence rate of the home transmission data of each data type;
determining the class rules corresponding to different household equipment types and household transmission data of different data types according to the user feedback error rate and the historical accident occurrence rate corresponding to each household equipment type and the user feedback error rate and the historical accident occurrence rate corresponding to each data type; the determining the level rule corresponding to different household equipment types and household transmission data of different data types according to the user feedback error rate and the historical accident occurrence rate corresponding to each household equipment type and the user feedback error rate and the historical accident occurrence rate corresponding to each data type comprises the following steps:
For any household equipment type and any data type, calculating an error rate difference value between the user feedback error rate of the household equipment type and the user feedback error rate between the data types, and calculating an occurrence rate difference value between the historical accident occurrence rate of the household equipment type and the historical accident occurrence rate between the data types;
According to the error rate difference value and the occurrence rate difference value, clustering and dividing all the household equipment types and all the data types to obtain a plurality of type sets; each of the type sets includes at least one of the home device types and at least one of the data types; the error rate difference value and the occurrence rate difference value between the household equipment type and the data type in the type set meet a preset threshold rule;
Calculating the average value of the user feedback error rate and the historical accident occurrence rate of all the household equipment types and all the data types in each type set to obtain the error probability corresponding to each type set;
based on the error probability from large to small, sequencing all the type sets to obtain a set sequence;
Establishing mathematical correspondence between the types of the household equipment and the data types included in each type set and the orders of the type sets in the set sequence, and obtaining level rules corresponding to household transmission data of different types of household equipment and different types of data;
When target household equipment needs to transmit target transmission data, determining a security level corresponding to the target transmission data according to a data type corresponding to the target transmission data, a household equipment type of the target household equipment and the level rule;
and determining a transmission encryption algorithm and a key corresponding to the target transmission data according to the security level, and carrying out encryption transmission on the target transmission data according to the transmission encryption algorithm and the key.
2. The information security encryption method for smart home according to claim 1, wherein the user investigation data includes at least one of user report data, user questionnaire filling data, and user telephone communication data; and/or the history information security accident record comprises a plurality of history information leakage accidents and corresponding accident data transmission records of a plurality of household devices in a history time period; and/or the household equipment type comprises at least one of a monitoring type, a door lock type, a cleaning type, a control type, a lighting type and a cooking type; and/or the data type comprises at least one of a control type, a notification type, a text type, an image type and a sound type.
3. The method for information security encryption of smart home according to claim 1, wherein determining the security level corresponding to the target transmission data according to the data type corresponding to the target transmission data and the home device type of the target home device, and the level rule includes:
Forming a target type set by the data type corresponding to the target transmission data and the household equipment type of the target household equipment;
Calculating the type similarity between each type set and the target type set;
and determining the rank in the set sequence corresponding to the type set with the highest type similarity as the security level corresponding to the target transmission data.
4. The method for secure encryption of information for smart home according to claim 1, wherein said determining, according to the security level, a transmission encryption algorithm and a key corresponding to the target transmission data comprises:
Determining a target encryption algorithm from a plurality of candidate encryption algorithms according to the security level so as to determine a transmission encryption algorithm corresponding to the target transmission data;
Determining a target key determination algorithm from a plurality of candidate key determination algorithms according to the security level;
and determining a key corresponding to the target transmission data through the target key determination algorithm and the target transmission data.
5. The method for secure encryption of information for smart home according to claim 4, wherein said determining a target key determination algorithm from a plurality of candidate key determination algorithms according to said security level comprises:
For each candidate key determining algorithm, determining the proportion of the number of information incidents corresponding to the candidate key determining algorithm to the number of all incidents from the historical information incidents, and obtaining the proportion parameter corresponding to the candidate key determining algorithm;
Inputting each historical key generated by the candidate key determination algorithm in a historical time period into a trained key complexity prediction neural network model to obtain the complexity corresponding to each historical key, and calculating the average value of the complexity corresponding to all the historical keys of the candidate key determination algorithm to obtain the complexity parameter corresponding to the candidate key determination algorithm;
calculating the ratio of the complexity parameter to the proportion parameter to obtain the algorithm security parameter of the candidate key determination algorithm;
And sequencing all the candidate key determining algorithms from large to small according to the algorithm security parameters to obtain an algorithm sequence, and determining the candidate key determining algorithm with the rank corresponding to the security level in the algorithm sequence as a target key determining algorithm.
6. An information security encryption system for smart home, the system comprising:
the acquisition module is used for acquiring user investigation data and historical information security accident records;
The analysis module is used for determining different household equipment types and corresponding level rules of household transmission data of different data types according to the user investigation data and the historical information security accident record; the analysis module determines specific modes of different household equipment types and corresponding level rules of household transmission data of different data types according to the user investigation data and the historical information security accident record, and the specific modes comprise the following steps:
according to the user investigation data, counting user feedback error rate of the home transmission data corresponding to each home equipment type;
According to the user investigation data, counting the user feedback error rate of the home transmission data of each data type;
According to the historical information security accident records, counting the historical accident occurrence rate of the home transmission data corresponding to each home equipment type;
According to the historical information security accident records, counting the historical accident occurrence rate of the home transmission data of each data type;
Determining the class rules corresponding to different household equipment types and household transmission data of different data types according to the user feedback error rate and the historical accident occurrence rate corresponding to each household equipment type and the user feedback error rate and the historical accident occurrence rate corresponding to each data type; the analysis module determines specific modes of different household equipment types and corresponding level rules of household transmission data of different data types according to the user feedback error rate and the historical accident occurrence rate corresponding to each household equipment type and the user feedback error rate and the historical accident occurrence rate corresponding to each data type, and the specific modes comprise the following steps:
For any household equipment type and any data type, calculating an error rate difference value between the user feedback error rate of the household equipment type and the user feedback error rate between the data types, and calculating an occurrence rate difference value between the historical accident occurrence rate of the household equipment type and the historical accident occurrence rate between the data types;
According to the error rate difference value and the occurrence rate difference value, clustering and dividing all the household equipment types and all the data types to obtain a plurality of type sets; each of the type sets includes at least one of the home device types and at least one of the data types; the error rate difference value and the occurrence rate difference value between the household equipment type and the data type in the type set meet a preset threshold rule;
Calculating the average value of the user feedback error rate and the historical accident occurrence rate of all the household equipment types and all the data types in each type set to obtain the error probability corresponding to each type set;
based on the error probability from large to small, sequencing all the type sets to obtain a set sequence;
Establishing mathematical correspondence between the types of the household equipment and the data types included in each type set and the orders of the type sets in the set sequence, and obtaining level rules corresponding to household transmission data of different types of household equipment and different types of data;
the determining module is used for determining the security level corresponding to the target transmission data according to the data type corresponding to the target transmission data, the household equipment type of the target household equipment and the level rule when the target household equipment needs to transmit the target transmission data;
And the encryption module is used for determining a transmission encryption algorithm and a key corresponding to the target transmission data according to the security level, and carrying out encryption transmission on the target transmission data according to the transmission encryption algorithm and the key.
7. An information security encryption system for smart home, the system comprising:
A memory storing executable program code;
A processor coupled to the memory;
The processor invokes the executable program code stored in the memory to perform the information security encryption method for smart home as claimed in any one of claims 1-5.
8. A computer storage medium storing computer instructions which, when invoked, are adapted to perform the information security encryption method for smart home according to any one of claims 1-5.
CN202311606341.9A 2023-11-28 2023-11-28 Information security encryption method and system for intelligent home Active CN117527399B (en)

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Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106972927A (en) * 2017-03-31 2017-07-21 杭州翼兔网络科技有限公司 A kind of encryption method and system for different safety class
WO2020252703A1 (en) * 2019-06-19 2020-12-24 深圳市欢太科技有限公司 Device control method and apparatus, server and storage medium
CN113381984A (en) * 2021-05-21 2021-09-10 珠海格力电器股份有限公司 Data processing method, device and system, electronic equipment and storage medium
CN113489680A (en) * 2021-06-07 2021-10-08 广发银行股份有限公司 Network attack threat level evaluation model, evaluation method, terminal and medium
WO2021244079A1 (en) * 2020-06-02 2021-12-09 苏州科技大学 Method for detecting image target in smart home environment
CN114281534A (en) * 2021-12-17 2022-04-05 深圳市欧瑞博科技股份有限公司 Long connection intelligent control method, system, device, electronic equipment and storage medium
CN115730319A (en) * 2021-08-25 2023-03-03 财付通支付科技有限公司 Data processing method, data processing device, computer equipment and storage medium
CN116068910A (en) * 2023-04-06 2023-05-05 江西财经大学 Intelligent home control method and system based on big data
CN116488873A (en) * 2023-04-06 2023-07-25 原力在线(北京)科技有限公司 Information transmission method, apparatus, computer device and storage medium
CN116756761A (en) * 2023-08-22 2023-09-15 广东南方电信规划咨询设计院有限公司 Method and device for encrypting data

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106972927A (en) * 2017-03-31 2017-07-21 杭州翼兔网络科技有限公司 A kind of encryption method and system for different safety class
WO2020252703A1 (en) * 2019-06-19 2020-12-24 深圳市欢太科技有限公司 Device control method and apparatus, server and storage medium
WO2021244079A1 (en) * 2020-06-02 2021-12-09 苏州科技大学 Method for detecting image target in smart home environment
CN113381984A (en) * 2021-05-21 2021-09-10 珠海格力电器股份有限公司 Data processing method, device and system, electronic equipment and storage medium
CN113489680A (en) * 2021-06-07 2021-10-08 广发银行股份有限公司 Network attack threat level evaluation model, evaluation method, terminal and medium
CN115730319A (en) * 2021-08-25 2023-03-03 财付通支付科技有限公司 Data processing method, data processing device, computer equipment and storage medium
CN114281534A (en) * 2021-12-17 2022-04-05 深圳市欧瑞博科技股份有限公司 Long connection intelligent control method, system, device, electronic equipment and storage medium
CN116068910A (en) * 2023-04-06 2023-05-05 江西财经大学 Intelligent home control method and system based on big data
CN116488873A (en) * 2023-04-06 2023-07-25 原力在线(北京)科技有限公司 Information transmission method, apparatus, computer device and storage medium
CN116756761A (en) * 2023-08-22 2023-09-15 广东南方电信规划咨询设计院有限公司 Method and device for encrypting data

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
远程监控设备上报数据的安全性研究;李顺达;;现代电信科技;20130925(09);全文 *

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